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100% Pass Quiz 2025 Fantastic Snowflake Answers COF-C02 Real Questions

As we all know, COF-C02 certificates are an essential part of one’s resume, which can make your resume more prominent than others, making it easier for you to get the job you want. For example, the social acceptance of COF-C02 Certification now is higher and higher. If you also want to get this certificate to increase your job opportunities, please take a few minutes to see our COF-C02 training materials.

The SnowPro Core Certification Exam is a rigorous exam that tests an individual's knowledge of the Snowflake platform. COF-C02 Exam aims to evaluate an individual's proficiency in the Snowflake platform's core concepts, architecture, and administration. It is designed to help businesses identify individuals who have a deep understanding of the Snowflake platform and can help them manage their data more efficiently.

>> Answers COF-C02 Real Questions <<

100% Pass Quiz 2025 Snowflake Latest Answers COF-C02 Real Questions

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Snowflake SnowPro Core Certification Exam Sample Questions (Q595-Q600):

NEW QUESTION # 595
What COPY INTO SQL command should be used to unload data into multiple files?

A. SINGLE=TRUE
B. MULTIPLE=FALSE
C. MULTIPLE=TRUE
D. SINGLE=FALSE

Answer: D

Explanation:
The COPY INTO SQL command with the option SINGLE=FALSE is used to unload data into multiple files.
This option allows the data to be split into multiple files during the unload process. References: SnowPro Core Certification COPY INTO SQL command unload multiple files

NEW QUESTION # 596
What is a feature of column-level security in Snowflake?

A. Internal tokenization
B. Network policies
C. External tokenization
D. Role access policies

Answer: A

NEW QUESTION # 597
True or False: A third-party tool that supports standard JDBC or ODBC but has no Snowflake-specific driver will be unable to connect to Snowflake.

A. False
B. True

Answer: A

NEW QUESTION # 598
Which categories are included in the execution time summary in a Query Profile? (Select TWO).

A. Spilling
B. Pruning
C. Percentage of data read from cache
D. Initialization
E. Local Disk I/O

Answer: B,D

Explanation:
In the execution time summary of a Query Profile in Snowflake, the categories included provide insights into various aspects of query execution. "Pruning" refers to the process by which Snowflake reduces the amount of data scanned by eliminating partitions of data that are not relevant to the query, thus improving performance.
"Initialization" represents the time taken for query planning and setup before actual execution begins. These metrics are crucial for understanding and optimizing query performance.
Reference: Snowflake Documentation on the Query Profile, which outlines the different metrics and categories included in the execution summary: https://docs.snowflake.com/en/user-guide/ui-query-profile.
html#execution-summary

NEW QUESTION # 599
What is the MINIMUM size of a table for which Snowflake recommends considering adding a clustering key?

A. 1 Terabyte (TB)
B. 1 Gigabyte (GB)
C. 1 Kilobyte (KB)
D. 1 Megabyte (MB)

Answer: A

Explanation:
Snowflake recommends considering adding a clustering key to a table when its size reaches 1 Terabyte (TB) or larger. Clustering keys help optimize the storage and query performance by organizing the data in a table based on the specified columns. This is particularly beneficial for large tables where data retrieval can become inefficient without proper clustering.
Why Clustering Keys Are Important: Clustering keys ensure that data stored in Snowflake is physically ordered in a way that aligns with the most frequent access patterns, thereby reducing the amount of scanned data during queries and improving performance.
Recommendation Basis: The recommendation for tables of size 1 TB or larger is based on the observation that smaller tables generally do not benefit as much from clustering, given Snowflake's architecture. However, as tables grow in size, the benefits of clustering become more pronounced.
Implementing Clustering Keys:
To set a clustering key for a table, you can use the CLUSTER BY clause during table creation or alter an existing table to add it:
CREATE TABLE my_table (... ) CLUSTER BY (column1, column2);
Or for an existing table:
ALTER TABLE my_table CLUSTER BY (column1, column2);

NEW QUESTION # 600
......

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